Analysis of Effects Resulting from Improved Vehicle Fuel Efficiency and Fuel Price Changes Applied to the Berlin City Network

Abstract Purpose This study analyses the effect of fuel efficiency increase on travel demand in the city of Berlin. Vehicle technologies such as advanced driver assistance systems can help drivers to save fuel and thus lower exhaust emissions on a network level. In order to obtain high political endorsement among different stakeholders, the analysis of such effects which have an impact on overall fuel and emission savings are highly relevant. Recent testing of so called advanced driver assistance systems showed their ability to reduce fuel consumption and lower traffic emissions by giving driving recommendations to drivers. Methodology/approach Two effects on driving were simulated using a travel demand model: the increase in fuel prices which will take place in the coming years and a possible increase in vehicle fuel efficiency. Comparing these scenarios allowed us to calculate the effect of price change and the rebound effect of fuel efficiency gains using standard methods for transport elasticities. The simulation was run with the travel demand model TAPAS and the city of Berlin was the network used as a case study. Findings As fuel prices increase over time, driving tends to decrease. Driving increases, however, if vehicles become more fuel efficient and the result is the observed rebound effect. On a city network level, this also translates to lower emission savings than expected from the vehicle fuel efficiency gains. The rebound effect which we estimated matches similar findings in the literature, specifically in terms of their magnitude. Practical implications We used a simulation to compare scenarios of city travel demand. The result allowed us to estimate changes to the desired variables of fuel efficiency and fuel prices. For those interested in the effects of vehicle efficiency gains on city level these results are highly recommended for consideration. Originality/value The proposed framework for analysing rebound effects helped to assess the impacts of energy efficiency technologies on a city level.

[1]  Lee Schipper,et al.  Mind the Gap: The Vicious Circle of Measuring Automobile Fuel Use , 1993 .

[2]  Arne Höltl,et al.  Requirements and motivators for private and commercial drivers: Deliverable 6.1. , 2011 .

[3]  J. Barkenbus Eco-driving: An overlooked climate change initiative , 2010 .

[4]  David L. Greene,et al.  Fuel Economy Rebound Effect for U.S. Household Vehicles , 1999, Controlling Automobile Air Pollution.

[5]  Samuel Labi,et al.  Transportation Decision Making: Principles of Project Evaluation and Programming , 2007 .

[6]  Moshe Ben-Akiva,et al.  Recent Evidence on Car Cost and Time Elasticities of Travel Demand in Europe , 2001 .

[7]  O. Edenhofer,et al.  What Parameters Influence the Spatial Variations in CO2 Emissions from Road Traffic in Berlin? Implications for Urban Planning to Reduce Anthropogenic CO2 Emissions , 2007 .

[8]  Joshua Linn,et al.  The Rebound Effect for Passenger Vehicles , 2013 .

[9]  Kanok Boriboonsomsin,et al.  Energy and emissions impacts of a freeway-based dynamic eco-driving system , 2009 .

[10]  Paul Ekins,et al.  The Macroeconomic Rebound Effect and the UK Economy , 2006 .

[11]  K. Small,et al.  Fuel Efficiency and Motor Vehicle Travel: The Declining Rebound Effect , 2007, Controlling Automobile Air Pollution.

[12]  C. Macharis,et al.  Private household demand for vehicles on alternative fuels and drive trains: a review , 2013 .

[13]  Kenneth Lebeau,et al.  The market potential for plug-in hybrid and battery electric vehicles in Flanders: A choice-based conjoint analysis , 2012 .

[14]  M. Binswanger Technological progress and sustainable development: what about the rebound effect? , 2001 .

[15]  P. Goodwin,et al.  Elasticities of Road Traffic and Fuel Consumption with Respect to Price and Income: A Review , 2004 .

[16]  Matthew J. Kotchen,et al.  Energy policy: The rebound effect is overplayed , 2013, Nature.

[17]  Laurence Turcksin,et al.  Understanding the attitude-action gap: functional integration of environmental aspects in car purchase intentions. , 2012 .

[18]  S. Sorrell,et al.  Estimating direct and indirect rebound effects for UKhouseholds , 2012 .

[19]  D. Greene,et al.  Energy efficiency and consumption — the rebound effect — a survey , 2000 .

[20]  Rita Cyganski,et al.  Demographic Effects on Passenger Transport Demand , 2011 .

[21]  C. Dorrer Effizienzbestimmung von Fahrweisen und Fahrerassistenz zur Reduzierung des Kraftstoffverbrauchs unter Nutzung telematischer Informationen , 2004 .